Open Access Research Article
THE CONQUERING CHASE OF ARTIFICIAL INTELLIGENCE (AI) OVER ARTISTIC WORK BY: NEERAJ CHAUHAN & TRAPTI VARSHNEY
Published Paper
Article Details
THE CONQUERING CHASE OF ARTIFICIAL
INTELLIGENCE (AI) OVER ARTISTIC WORK
AUTHORED BY: NEERAJ CHAUHAN &
TRAPTI VARSHNEY
ABSTRACT
AI has been positioned and qualified
through massive amounts of data sets and generative algorithms to produce
realistic and aesthetically pleasing digital art, this research examines the
images which are generated by Artificial Intelligence with utmost perfection,
due care, and accuracy. All these advancements and digital creations have
gained popularity, causing controversy within the art community. Even most
individuals view artificial intelligence (AI)-)-generated art as a thrilling
new medium for artistic expression, but some regard it as a danger to their
jobs. This research is going to talk about why some artists are concerned about
AI-generated art and how it could impact their carrier and livelihoods. This
research will also look at how AI art generators violate the rights of end
numbers of artists by consuming massive amounts of futuristic online photos and
then producing replicas of the originals that already exist in the market. Many
artisans believe that AI-generated art lacks the genuineness and human touch
that comes with human creativity. One way or another it is lowering the value
of human artistic ability and weakening the market for original works of art
created by humans. This research investigates the ingression of AI-generated
art into the contemporary art culture and will also understand its impact and
how this changes the current artform by referring to current debates and
opinions in academia. To control such situations where this AI-generated art is
getting undue advantage and potential benefits of image generators, this research offers to provide
suggestions like regulations which should instruct organizations just to
provide access to its training resources, and equipment which will surely help
the artists to remove and obey their guidelines while using their content as
training resources without prior of their consent. This regulation would be
recommended by comprehending the artwork and current art culture that can
address the debate on a global level.
INTRODUCTION
Artificial Intelligence creates
machines that have learning capabilities that will think for us instead of
helping us to reason the world, this is a main concern. – Anonymous
The AI industry is becoming mainstream
in every sector, recent figures have been shown in the market that the
generative AI industry, which is currently the most using AI feature is valued
at an estimated $48B industry cost[1].
Websites like Midjourney[2],
DALL-E[3],
and Stable Diffusion[4],
they take texts as input and output images as well as image to image based
websites like Lensa
Artificial Intelligence (hereinafter
AI) includes a body of codes, techniques, algorithms, and data sets that
provide and enhance the computer's capability to understand, learn, and copy or
mimic human behaviour and intellect. In the world of AI, sometimes AI after
analysing certain situations makes better decisions which sometimes are even
superior to those which are made by people.
There are various terms we use to
describe AI that as “General AI” or “Strong AI”, usually we use these terms
when the machine or computer shows the complete human intellect. However, when
it comes to today’s situation the technologies, computers, and machines are
typically able to operate in a much narrower domain to perform particular
tasks.
AI has three main stages:
ANI: Artificial Narrow/Weak
Intelligence
AGI: Artificial General Intelligence
ASI: Artificial Super/Smart
Intelligence
ARTIFICIAL NARROW INTELLIGENCE
Artificial Narrow Intelligence
(hereinafter ANI) popularly comes with the name of Weak AI/Narrow AI. ANI is
the only AI that has been able to be implemented successfully in today’s world
as if now.
The activities that an Artificial
Narrow Intelligence (ANI) can accomplish are goal-oriented, narrowly focused
tasks with perspective holding; it is not capable of self-expanding mechanisms
(functionality). The AI which is Generative in nature is the sub-set of narrow
intelligence[5].
All those types of equipment or computers
that can focus and perform a single, specific task while adhering to a narrow
number of rules and restrictions, is why we generally call or refer to them as
WEAK AI. ANI's inability to accurately copy human intelligence is a drawback;
instead, it mostly replicates or simulates human behavior based on a limited
set of characteristics.
Some of the examples of Narrow AI
·
Facial/ Image recognition[6]
·
Interpretation Software
·
Data sets that help to bring out the best
recommendations images and search results
Artificial General Intelligence
Artificial General Intelligence
(hereinafter AGI), is a more advanced form or version of ANI that excels in a
variety of tasks. AGI’s primary task is to perform all the tasks that a human
intellect is capable of doing [6]. AGI will be able to easily identify the
problem's answer thanks to its representation of human cognitive ability. AGI
should be capable of and understand:
•
Background Knowledge
•
Abstract Thinking
•
Good Sense
•
Causing and resulting
Artificial Smart Intelligence (ASI)
Artificial Smart Intelligence (ASI)
can beat the performance or capabilities of human intellect, and intelligence
by showing its multi-tasking cognitive abilities and at the same time
developing its intellectual abilities. ASI is an imaginary phenomenon or
hypothetical situation, so far we have not been able to succeed in creating it,
but we all are aware of the consequences of doing so[7].
ASI is that AI where it will not only
interpret human behaviour or understand their actions rather it will represent
the point at which a robot or computer will develop sufficient self-awareness
and self-vigilance to outperform human ability in intelligence and behavioural
sense. The most advanced awaiting task of AI is the development of Smart AI, where
it would perform all the tasks that a human can do and much more.
We all know that AI is developing
constantly and about to surpass the first stage of AI. We all are aware of the
fact that ANI has already affected human artists, professional artists, and the
whole art industry. AI art and AI art generators are becoming increasingly
sophisticated and there is a chance that the market for human artists and
employment related to this industry could drop, this will lead to financial
instability and unemployment in this sector.
When we talk about the regulations
that can control the AI system as if now there are no governing bodies or laws
that talk about regulating AI work. AI technology in the art industry is
rapidly expanding, its uses will also expand. Therefore, India needs AI
regulation or legislation to prevent data misuse, unfair advantage, and other
activities that could harm other people’s interests.
Research Hypothesis: Artificial Intelligence threaten
to artists, the art industry, and their employment.
LITERATURE
REVIEW
IMAGE GENERATION BY AI
There are multiple ways to create an
image or an art and for that, we have different means. Few artists use their
own experience to create something out of it, few of them use their natural and
constructed environment in which they are living, on the other hand, few of
them use their inner feelings and imagination) which can go beyond to any
dimensions of the world[8].
Now, when it comes to AI, the images
which are by generated AI neither use the natural source nor the inner feelings
and imagination. AI needs help to create or generate an image and for that, AI
needs data sets. When we talk about data sets the literal meaning of data set
by Oxford Dictionary is that a
collection of related sets of information that is composed of separate elements
but can be manipulated as a unit by a computer[9].
The dataset serves as the foundation for all operations, methods, and
models that developers utilize to interpret them. A dataset is a collection of
many data points arranged in a single table. Nowadays, datasets are utilized
for a variety of purposes in practically every industry[10].
Now, in
these data sets, there will be an end number of images probably in billions,
which includes those images also are protected under copyright protection and
photographs as well of which we have given protection. Most of the time AI uses
these data sets to create the outcome for the user and due to that process,
many photographs and images that are protected under intellectual property
rights are taken without the consent of their legit owners. Sometimes our
creations or artwork which we generally share on any of the social media
platforms is in our name account work has also been taken to establish and
train AI models. There are many guaranteed chances that whatever the images,
work, environment, or house you have shared online might have been part or
included in these data sets[11].
The main
concern of artists is that any artwork on which they have spent a huge amount
of time, at any particular moment if they share it online in any of the means,
it means they are opting into the system. In today’s world if we look around us
we will realize that everything is connected to these data sets via the
internet that means if any work exists online it will be easily found in the
data sets and this data will be used to send in pieces to create an AI art. Now
artists who fall into this category and their work is not at all protected. Big
companies who are producing these images on an industry scale are violating the
rights of all these artists and should be held accountable. There is a company
called Stability AI, which works through diffusion models, these models are
prone to overfitting and memorizing. It might be illegal to release a model
that has been trained on copyrighted data.
We have seen the fact that these model directly use the content that is
copyrighted and most of the images that are generated by AI tend to look almost
identical to their original counterparts. There is a practice called data
mining. In this process, we search and analyze a large batch of raw data to
identify patterns and extract useful information[12].
This
process can help the user with the outcome through data analysis. With the help of data mining, big corporations
and companies store huge amounts of data and deliberately target legal
loopholes to allow data mining. The website Stability AI has 5.8 billion of
text and image data including private and copyrighted information. It is
generally known as “LAION 5B”. This type of practice where copyrighted data is
used to generate the commercial product is egregious abuse of copyright
protection.[13]
EMPIRICAL METHOD
1.
TO ENQUIRE ABOUT THE CURRENT USAGE OF AI IN THE IELD OF ARTISTIC WORK
It demonstrates how the widespread application
of AI would lead to a rise in unemployment among creative workers like
composers and artists. According to the graph above, 60% of respondents believe
AI would soon lead to a rise in unemployment among creative
professionals.
2.TO
INVESTIGATE THE IINVASION IN OUR PRIVACY
The above response about the invasion of our
privacy is quite high that is 86.6 percent. Majoritarian think that AI
can invade our privacy, which is a critical threat not to just our artistic
creators but also to artistic lovers as well. Everybody has a right when it
comes to their privacy, and if in that case, anyone comes up with their
creation.
3.
Do we have any laws to regulate AI under Indian laws?
The replies I received caught me off
guard since they were so similar to those of others. According to the
results I obtained, 39.8% of individuals believe that there are no rules to
govern artificial intelligence, while 32.7% believe that there are laws that
can do so, and 27.6% are unsure. Therefore, it can be concluded that the
majority of people are unaware of the current situation in which there is no
particular rule governing the use of AI. The government is not considering
passing legislation or restricting the development of artificial intelligence
in the nation, according to IT and Telecom Minister Ashwini Vaishnaw.
Vaishnaw recognized that there are
hazards and ethical questions associated with AI and that the government has
already begun working to standardize responsible AI and even encourage the use
of best practices. In a statement, Vaishanaw said, “NITI Aayog has published a
series of papers on the subject of responsible AI for All[14].
However, the government is not considering bringing a law or
regulating the growth of artificial intelligence in the
country."
4. Usage of AI
Only 25.3% of respondents to the
poll said they used AI most of the time, which is concerning because so many
people are not fully informed about the AI system. Although artificial
intelligence has been used for many years and has been a part of our systems
for a very long time, few people are familiar with it. If I use AI as an
example, there are task-assistance tools like Siri and Google Assistant. We
have been employing these features for a very long time, and this is the
greatest and most basic example of AI. Currently, People are now making music,
films, tales, and fiddling with photographs with the aid of AI.
5. Can AI misuse the data?
Page |
9
This poll reveals the degree to
which individuals believe that AI cannot be trusted with data. Nearly 90.8% of
individuals believe that when personal data is collected and processed by AI,
it is not at all safe. AI models may be used maliciously to carry out damaging
tasks like phishing, hacking, or creating offensive material. Significant
privacy problems are raised by AI systems' acquisition and processing of
personal data. These data can be exploited, resulting in privacy breaches and
identity theft, if managed improperly or if unauthorized parties gain access to
them. To secure personal information, stricter data protection laws, open
data policies, and powerful encryption techniques are essential. Furthermore,
AI developers should follow privacy-by-design guidelines to incorporate privacy
issues into the design.
Current Situation in India
India doesn't have any explicit laws
governing the use of AI if we're talking about that country. The governing
organization for AI in India is the Ministry of Electronics and
Information Technology (MeiTY). It is accountable for the creation,
administration, and management of AI legislation and regulations in India.
As stated in U/S 43A and 72A of the IT Act of 2000[15],
certain clauses under the Intellectual Property Law and other provisions imply
that anyone who commits a crime using artificial intelligence will be held
accountable under the IT Act, criminal law, and other cyber laws[16].
EMERGENCE OF NEW CO-AUTHOR IN COPYRIGHT
LAWS:
The introduction of AI-generated authors has
been a stunning and revolutionary development in the literary world in recent
years. With its complex algorithms and advanced language
models, artificial intelligence has started to make literary
contributions.
Because
of their extensive data sets and sophisticated learning algorithms, these
AI-generated writers can create engaging stories, elaborate plots, and create a
variety of characters. Novel approaches to storytelling have emerged from the
combination of creativity, data analysis, and computing power, challenging
traditional ideas about who is the author. We may anticipate an even bigger
impact on literature as AI develops and expands its powers, stretching the
bounds of imagination and creativity to unimaginable heights. The advent of AI
as a writer offers an intriguing nexus between creativity and technology,
igniting debates about the direction of creativity in the future and how
machines will influence the canon of literature. The idea that artificial intelligence
(AI) may write or create literature has evolved from a theoretical concept to a
real-world possibility in the modern day. Artificial intelligence
(AI)-driven language models and algorithms, like GPT-3 and its
offspring, have proven to have an amazing ability to produce original and
cohesive literature in a variety of genres. These artificial intelligence
"authors" aren't sentient; instead, they're great at analyzing
enormous volumes of data and finding patterns in it to produce content that seems
like it was written by a human. AI has also been employed as a tool to help
human writers, offering them concepts, recommendations, or even drafts that
they can edit and expand upon. The distinction between traditional authorship
and AI's function in the literary world is becoming more and hazier due to the
synergy between human creativity and AI aid. Ethical questions like
ownership, copyright, and the collaborative nature of human-AI literary
production become crucial conversation points as we traverse this changing
terrain.
In the complicated and developing field of laws
and intellectual property, AI is becoming an author. When creative works were
only ascribed to human producers, the conventional legal frameworks pertaining
to authorship and copyright were formed. However, as AI-generated content
becomes more prevalent, these frameworks are being tested and modified to fit
this new paradigm. One of the main problems is figuring out who will be the
copyright holder of works created by AI. Certain legal systems contend that
since artificial intelligence (AI) is a tool or machine made by humans, the
person or company that developed the AI should be granted copyright.
Some, however, favor a more nuanced strategy that acknowledges the AI's
contribution to the creative process and may even confer legal personality or
treat it as a co-author. Another legal consideration is the duration of
copyright protection for works produced by AI. The duration of protection
specified by copyright laws is usually determined by adding a set number of
years to the author's life. In the context of AI-generated works, there are
particular difficulties in defining the "life" of an AI or figuring
out how long it should be protected.
Furthermore, concerns about accountability for
content produced by AI also surface. Determining accountability and
culpability if AI produces content that violates copyright or other legal
rights is a difficult task. While some legal systems may concentrate on the
AI's activities, others may hold the AI's creators or operators accountable.
Legislators and legal scholars are actively
involved in ongoing discussions and efforts to update existing laws and
frameworks to provide clarity and fairness in recognizing AI as an author and
addressing the associated legal implications.
Multiple
Views by Multiple Nations
There is a multidisciplinary artist and lawyer
called Ankit Sahni situated in India itself. Ankit Sahni with the help of an AI
tool called Robust Artificially Intelligent Graphics and Art Visualizer
“RAGHAV” generated an image called “SURYAST” in 2020. “RAGHAV” the AI tool got
registered as co-author in India as we all know a work which is solely created
by humans can be given protection under Copyright Act[17].
There is a grey area in these types of situations when a work is solely
generated by AI algorithms. This is one of the main reasons where Copyright Act
in India poses its own set of challenges in recognizing AI-generated works.
The USA has different point of view in case
“RAGHAV”, United States Copyright Office (USCO) has rejected the application
given by Sahni to register this AI tool by saying that it AI tool is to robotic
and too soulless to bear human touch of authorship. Furthermore, USCO has
stated that the image created by AI tool is a derivative work and has
resemblance with an image of famous masterpiece of Vincent Van Gogh “The Starry
Night”. Despite many reconsiderations from Sahni’s side but still USCO rejected
it by saying the photograph was a result of the model’s training. The Canada
has another opinion and it does recognize the Sahni’s work. They even
recognized the Sahni’s co-authorship with the AI tool. The Beijing Internet
Court has also recognized the work generated by the AI tool by saying that it
reflects the people’s original intellectual investment[18].
Actual Work of AI
It has been famous that since the 1970s,
computer-generated work of art has earned impressive intrigue. The software
engineer who gives the input for the improvement of the piece is essentially
dependent on the larger part of these computer-generated artworks. Be that as
it may, as a result of specialized advancement, manufactured insights have come
to a point where they can comprehend and deliver results or yields without the
requirement for human mediation.
Concerning the security of
counterfeit intelligence-created work, there are a few questions that have been
raised. The idea of amplifying copyright assurance to counterfeit insights for
works produced appears challenging given the current Indian IP rules,
especially copyright.
There are two situations where we
have to draw the line between them which is "work which is generated by AI
tool with human interference " and "work generated by AI without any
human interference" these two situations can be said that work generated
by AI. In this situation, what can be the possible outcome let's attempt to
respond to the questions below.
Who is the author of such works?
When human involvement is involved
in any art which is generated by AI tool, the work's creativity can be inferred
from that human involvement. In a few circumstances, a human being can be
credited as the creator. When AI makes a piece of art completely on its claim,
without any human association, it is hazy who is the genuine creator beneath the
law. In such cases, the taking-after methodology may be utilized:
When AI makes a bit of work without
any human association, the AI's creator—the individual who made the AI
program—may claim the creation of the work. When AI produces work without
human help, it can be expected that the AI was modified in such a way that it
can come up with and recognize conditions to create comes about on its
claim. In this case, the maker of the AI may hold imaginative control in
case the AI is adequately modified.
Prospects:
For writers and artists, the emergence of
artificial intelligence (AI) presents both opportunities and risks to their
creative endeavors. Although AI has the potential to improve creativity and
expedite the creative process, it also presents risks and uncertainties that
may influence these creative workers' ability to make a living. The idea that
artificial intelligence (AI) will replace human creativity is one of the
biggest worries for writers and artists. AI systems are getting better and better
at producing content that looks a lot like stuff that was created by humans. AI
algorithms can produce news articles, marketing material, and even story drafts
with characters and a narrative for writers. Similar to this, AI-driven systems
can produce graphics, music, and visual art with little to no human
involvement. This calls into doubt the originality of creative works and the
distinctiveness of artistic expression. There is concern that the market may
become oversupplied with AI-generated content, making it harder for human
authors and artists to compete.
Economic dislocation poses a significant threat
to writers and artists. With AI's continued development, many creative tasks
may become automated. For instance, AI software that can swiftly and affordably
produce logos and branding materials may put graphic designers in competition.
Similarly, AI-generated content, which can create articles, blog posts, and
even novels at a fraction of the cost, may pose a serious threat to writers.
This might lead to a decline in the market for human creativity, which would
cause employment instability and economic challenges for artists and writers.
Potential hazards might include copyright and intellectual property
concerns. As AI develops creative content, concerns over authorship and ownership
surface.
How should AI-generated literature and art be
treated by copyright laws? When an AI algorithm composes music, who owns
the rights? It will be essential to find solutions to these moral and legal
conundrums to defend the rights of authors and artists and guarantee that they
are fairly compensated for their contributions.
Furthermore, the authenticity and
human connection that frequently characterize creative works are threatened by
the monetization of AI-generated material. More and more listeners,
viewers, and readers may be consuming information devoid of emotional nuance
and human touch. Literature and other works of human creation frequently
reflect the distinct experiences, viewpoints, and feelings of their authors.
The danger is that content produced by AI might not have the same depth
and genuineness as content produced by humans, which draws viewers in. The
potential devaluation of creative skills is another danger posed by AI. As
AI tools become more widely available and easier to use, creative
expertise may be seen as having less value. It might be difficult for writers
and artists to persuade audiences and clients to pay more for their work when
AI can provide efficient and affordable substitutes. This could result in a
pricing and pay race to the bottom, which would make it harder for creative
workers to make a living. Artists and authors need to change and use AI as a
weapon to their advantage to counter these possible dangers. Instead of
being afraid of AI, they may leverage it to explore new avenues, gain
insightful information, and expedite their creative processes. AI can help with
data analysis, research, and even content creation, freeing up creatives like
authors and painters to concentrate on the more intricate and distinctively
human elements of their work. When humans and AI work together, amazing
things that blend the best of both worlds can be created.
In conclusion, writers and artists face both
opportunities and challenges from AI. Concerns regarding AI's ability to
supplant human creativity, economic displacement, copyright concerns, and
the devaluation of creative abilities notwithstanding, cooperation and the
incorporation of AI as an invaluable instrument in the creative process
are also legitimate. In a fast evolving creative scene, writers and
artists that accept AI are more likely to succeed. Finding a balance
between utilizing AI's capability and maintaining the individuality and
authenticity that characterize the creative spirit of humans is a
difficult task. Different
approaches are being used by policy makers in different jurisdictions as they
start the process of regulating AI.
Recently, European lawmakers in
parliament voted with in favour of the Artificial Intelligence Act, putting the
landmark legislation on track to take effect by the end of the year. While many
governments across the world are moving to put up guardrails, including Japan,
Brazil and the US, where on October 30, 2023, President Joe Biden signed an
executive order on Al safety - the European Union's new law is the first
comprehensive framework for governing a technology that has seen explosive
growth in recent years, dominating headlines and stoking both excitement and
fear about the future.
Taking a horizontal, risk-based
approach that will apply across sectors of Al development, the EU AI Act
classifies the technology into four categories: Prohibited, high-risk,
limited-risk and minimal-risk. Systems that violate or threaten human rights
through, for example, social scoring - creating "risk" profiles of
people based on "desirable" or "undesirable" behaviour — or
mass surveillance are banned outright. High-risk systems, which have a
significant impact on people's lives and rights, such as those used for
biometric identification or in education, health and law enforcement, will have
to meet strict requirements, including human oversight and security and
conformity assessment, before they can be put on the market. Systems involving
user interaction, like chatbots and image generation programmes, are classified
as limited-risk and are required to inform users that they are interacting with
Al and allow them to opt out. The most widely used systems, which pose no or
negligible risk, such as spam filters and smart appliances, are categorised as
minimal-risk. They will be exempt from regulation, but will need to comply with
existing laws.
Like the 2016 General Data Protection
Regulation (GDPR) law, which influenced data privacy regulation around the
world, the impact of the EU's Al Act is expected to be felt globally. However,
the history of EU technology legislation, including GDPR, which has been
criticised for being regulation-heavy and stifling innovation, urges caution.
For india, where the Ministry of Electronics and Information Technology has
been working on a framework for responsible Al, the challenge would be to
acknowledge and address the risks posed by the emerging technology, such as the
proliferation of deep fakes, without hobbling its potential for improving lives
or enhancing the promise of India's start-up ecosystem. In this regard, the
ministry's replacement last week of its March 1 advisory. which required
generative Al companies to seek government permission for deploying. Furthermore, regulatory frameworks are not
self-contained. Since AI is not limited by physical
locations, international cooperation will be necessary. The establishment
of an international organization for the "development,
standardization, and use of AI technology" is another topic covered in the
TRAI paper.
CONCLUSION
The distinction between artificial
intelligence-generated material and information created by humans is fast
eroding in the world of modern technology. The effects of AI on authorship
and ownership are a hotly debated and worrying topic as we stand at the
nexus of creativity, automation, and intellectual property. This research
study has dug into this complicated terrain, illuminating the complex
problems surrounding the changing roles of AI in content production, the
problems it poses to conventional ideas of authorship and ownership, and the
consequences for the future.
A new era in content creation has
begun thanks to the development of AI, notably in the form of potent
language models. These AI systems can create writing, photos, music, and even
code that is almost unrecognizable from human-created material since they
have been trained on enormous databases of human-generated information.
Production of material
has been transformed by this capability, which has increased accessibility
and efficiency. Today, AI is a useful tool for journalists, marketers,
content providers, and artists alike, and it is expanding the parameters
of human creativity.
Authorship is one of the major problems brought
on by this technical advancement. Authorship has often been a crucial
component of artistic and intellectual works. It expresses the
creator's identity, motivation, and personality and is directly related to
intellectual property rights. These established beliefs are called into
question by AI-generated material. Who is the author of a poetry, a song,
or a news item produced by an AI system? Is it the user who gives input
and oversight, the programmer who developed the AI model, or the AI system
itself?
The ethical and legal ramifications
of authorship in artificial intelligence-generated work are complicated.
Copyright laws provide writers some unique rights in many jurisdictions,
including the ability to restrict how their work is used and to be paid
for such usage. The distribution of these rights becomes a critical issue
as AI-generated material becomes more common. To accommodate the use of AI
in content production and protect the rights of human writers, the legal
system must be revised.
Ownership is a crucial component of
this topic that is directly related to authorship. Who owns the stuff that
AI systems produce? Is it the user, the AI's creator, or the business that owns
the AI model that started the AI from producing the content? The current
legal system is unable to address these issues, and as instances involving
AI-generated material have started to surface in courts throughout the
globe, the requirement for legal clarity is further highlighted.
Beyond the realm of law, AI has effects on
authorship and ownership. They affect the creative and cultural world in
profound ways. The prevalence of AI-generated material calls into
question how much importance we give to the distinctiveness of human
innovation. Despite the fact that AI is capable of duplicating and even
improving upon some creative jobs, it lacks the inherent human
experiences, emotions, and cultural context that are frequently essential to
creative works. The worry is that relying too much on artificial
intelligence-generated material might result in a homogenized, sterile
cultural environment devoid of the rich diversity that results from
human expression.
Additionally, the democratization of content
creation through AI has potential drawbacks. On the one hand, it gives
people and groups the chance to produce content without
specialized knowledge or equipment. On the other hand, it runs the danger
of undervaluing the efforts of skilled artists who have spent years honing
their trade. As AI continues to change the creative scene, it is challenging to
strike a balance between accessibility and professional standards.
Concerns concerning false
information and moral dilemmas have also been highlighted by the use of AI
in authorship and ownership. Malicious material, false news stories, and deep fake movies
produced by AI have the power to deceive and influence people on a large scale.
Technology firms,
politicians, and the general public must work together to create systems
for confirming the legitimacy of material and enforcing ethical norms in
AI content development in order to combat these problems. In conclusion,
there are many different ways that AI is encroaching on authorship
and ownership. It is critical to address the legal, ethical, cultural, and
social ramifications of the blending of human and AI authorship as AI
technology develops. The building of a fair legal system that acknowledges
AI's contribution to content production while safeguarding the rights and
identities of human writers is crucial. In order to fully utilize AI while preserving
the principles and diversity of human expression, it is also essential to
promote a sophisticated knowledge of its role in creative and cultural
contexts. The cohabitation of AI and human authorship, both with their own
unique strengths and limits, is likely to influence the future of content
production and ownership in this changing world. India is in a strong position
to play a significant role in forming the international AI regulatory
framework because of its robust technology ecosystem. Policymakers must be
cautious and work to promote innovation rather than stifle it, even as
they clearly define the regulatory boundaries.
References-
[1 Writer, S. (2023, March 4). Generative AI mania
brings billions of dollars to developers. Nikkei Asia.
https://asia.nikkei.com/Spotlight/Datawatch/Generative-AI-mania-brings-billions-of-dollars-to-developers
[2] Midjourney. (n.d.). Midjourney. https://www.midjourney.com/home.
[3] Mostaque, E. (2023, November 8). Stable
Diffusion launch announcement — Stability AI. Stability AI.
https://stability.ai/news/stable-diffusion-announcement
[4] DALL·E 2.
(n.d.). https://openai.com/dall-e-2
[5] G. (2022, October 2). What is Artificial
Narrow Intelligence (ANI)? GeeksforGeeks.
https://www.geeksforgeeks.org/what-is-artificial-narrow-intelligence-ani/
[6] Hashemi-Pour, C., & Lutkevich, B. (2023,
November 13). artificial general intelligence (AGI). Enterprise AI.
https://www.techtarget.com/searchenterpriseai/definition/artificial-general-intelligence-AGI
[7] Keary, (2024, February 7) ARTIFICIAL SUPERINTELLIGENCE (ASI), https://www.techopedia.com/definition/31619/artificial-superintelligence-asi
[8] C. (2020, February 12). Ask the Art Prof: How Do Visual Artists
Come Up with Ideas for their Art? Clara Lieu.
https://claralieu.wordpress.com/2013/07/11/ask-the-art-professor-how-do-you-come-up-with-ideas/
[9] data set
noun - Definition, pictures, pronunciation and usage notes | Oxford Advanced
American Dictionary at Oxford Learners Dictionaries.com. (n.d.).
https://www.oxfordlearnersdictionaries.com/definition/american_english/data-set#:~:text=data%20set-,noun,single%20unit%20by%20a%20computer
[10] G. (2023, September 8). What is a Dataset Types,
Features, and Examples? GeeksforGeeks.
https://www.geeksforgeeks.org/what-is-dataset/
[11] Solyom,
(2019) AI created works – creative or
just sweat of the brow https://cms.law/en/media/local/cms-cmno/files/publications/publications/ai-created-works-creative-original-or-just-sweat-off-the-brow
[12] Twin, A. (2024, February 23). What Is Data Mining? How It Works,
Benefits, Techniques, and Examples. Investopedia.
https://www.investopedia.com/terms/d/datamining.asp
[13] https://www.businesstoday.in/technology/news/story/no-regulations-for-artificial-intelligence-in-india-it-minister
ashwini-vaishnaw-376298- last modified on 06.04.2023.
[14] Information
Technology Act, 2000. (2000, June 9) https://www.indiacode.nic.in/handle/123456789/1999.
[15] Impact
of Artificial Intelligence on Indian Legal System.
(n.d.).
https://www.legalserviceindia.com/legal/article-631-impact-of-artificial-intelligence-on-indian-legal-system.html.
[16] Kasiva, K. S. (2024, January 8). Divergent Copyright Recognition:
AI-Generated Works - Sahni's Case US vs India. King Stubb &
Kasiva.
https://ksandk.com/intellectual-property/divergent-copyright-recognition-ai-generated-works-sahnis-case-us-vs-india/.
[1] Writer, S. (2023, March 4). Generative
AI mania brings billions of dollars to developers. Nikkei Asia. https://asia.nikkei.com/Spotlight/Datawatch/Generative-AI-mania-brings-billions-of-dollars-to-developers.
[3] Mostaque, E. (2023, November 8). Stable
Diffusion launch announcement — Stability AI. Stability AI.
https://stability.ai/news/stable-diffusion-announcement.
[5] G. (2022, October 2). What is
Artificial Narrow Intelligence (ANI)? GeeksforGeeks.
https://www.geeksforgeeks.org/what-is-artificial-narrow-intelligence-ani/.
[6] Hashemi-Pour, C., & Lutkevich, B.
(2023, November 13). artificial general intelligence (AGI). Enterprise
AI.
https://www.techtarget.com/searchenterpriseai/definition/artificial-general-intelligence-AGI.
[7] Keary, (2024, February 7) ARTIFICIAL SUPERINTELLIGENCE (ASI), https://www.techopedia.com/definition/31619/artificial-superintelligence-asi.
[8] C. (2020, February 12). Ask the Art
Prof: How Do Visual Artists Come Up with Ideas for their Art? Clara Lieu.
https://claralieu.wordpress.com/2013/07/11/ask-the-art-professor-how-do-you-come-up-with-ideas/.
[9] data set noun - Definition, pictures,
pronunciation and usage notes | Oxford Advanced American Dictionary at Oxford
Learners Dictionaries.com.(n.d.).
https://www.oxfordlearnersdictionaries.com/definition/american_english/data-set#:~:text=data%20set-,noun,single%20unit%20by%20a%20computer.
[10] G. (2023, September 8). What is a
Dataset Types, Features, and Examples. GeeksforGeeks.
https://www.geeksforgeeks.org/what-is-dataset/.
[11] Solyom, (2019) AI created works – creative or just sweat of the brow https://cms.law/en/media/local/cms-cmno/files/publications/publications/ai-created-works-creative-original-or-just-sweat-off-the-brow.
[12] Twin, A. (2024, February 23). What Is
Data Mining? How It Works, Benefits, Techniques, and Examples.
Investopedia. https://www.investopedia.com/terms/d/datamining.asp.
[13] https://www.businesstoday.in/technology/news/story/no-regulations-for-artificial-intelligence-in-india-it-minister
ashwini-vaishnaw-376298- last modified on 06.04.2023.
[15] Information
Technology Act, 2000.
(2000, June 9). https://www.indiacode.nic.in/handle/123456789/1999.
[17] Kasiva, K. S. (2024, January 8). Divergent
Copyright Recognition: AI-Generated Works - Sahni's Case US vs India.
King Stubb & Kasiva.
https://ksandk.com/intellectual-property/divergent-copyright-recognition-ai-generated-works-sahnis-case-us-vs-india/.
[18] AI???????????????. (n.d.). Weixin Official Accounts
Platform. https://mp.weixin.qq.com/s?__biz=MzAwNDE3MjA5NA==&mid=2677385275&idx=1&sn=a8ccdbb118604473d8fd198f82df7e30.
Article Information
THE CONQUERING CHASE OF ARTIFICIAL INTELLIGENCE (AI) OVER ARTISTIC WORK BY: NEERAJ CHAUHAN & TRAPTI VARSHNEY
Authors: NEERAJ CHAUHAN, TRAPTI VARSHNEY
- Journal IJLRA
- ISSN 2582-6433
- Published 2024/05/13
- Issue 7
About Journal
International Journal for Legal Research and Analysis
- Abbreviation IJLRA
- ISSN 2582-6433
- Access Open Access
- License CC 4.0
All research articles published in International Journal for Legal Research and Analysis are open access and available to read, download and share, subject to proper citation of the original work.
Disclaimer: The opinions expressed in this publication are those of the authors and do not necessarily reflect the views of International Journal for Legal Research and Analysis.